雷浩, 陈洁, 杜犇. Research and practice of track location method for pseudo base station based on AI[J]. 2020, 33(2): 17-20. DOI: 10.13992/j.cnki.tetas.2020.02.004.
Research and practice of track location method for pseudo base station based on AI
摘要
本文提出了一种基于机器学习最大熵模型的伪基站轨迹识别方法
通过建立道路与小区覆盖模型
结合位置更新数据
利用伪基站影响小区识别算法
在系统侧实现了对伪基站的活动轨迹精确定位识别。
Abstract
In this paper
a pseudo-base station trajectory recognition method based on machine learning maximum entropy model is proposed. By establishing road and cell coverage model
combining with location updating data
the pseudo-base station affecting cell recognition algorithm is used to accurately locate the trajectory of pseudo-base station.